Advancing the evaluation of radiation‐induced vaginal toxicity using ultrasound radiomics: Phantom validation and pilot clinical study

This phantom and pilot study demonstrated that ultrasound GLCM features can serve as reliable quantitative biomarkers for assessing radiation-induced vaginal toxicity in female patients receiving pelvic RT for GYN cancers. Implementing these biomarkers in clinical practice could enhance the objectivity of toxicity evaluations, leading to more consistent grading and better-informed follow-up care for patients.

Authors

Institutions

Publication Details

Journal
Medical Physics
Published
2025-05-08
DOI
https://doi.org/10.1002/mp.17864
Citations
1
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
1.36

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Advancing the evaluation of radiation‐induced vaginal toxicity using ultrasound radiomics: Phantom validation and pilot clinical study

Deborah Marshall, Joseph W. Shelton, Emi Yoshida, Himanshu Joshi et al.
1 citations
Medical Physics
Radiomics and Machine Learning in Medical Imaging
1.36
article

Advancing the evaluation of radiation‐induced vaginal toxicity using ultrasound radiomics: Phantom validation and pilot clinical study

Deborah Marshall, Joseph W. Shelton, Emi Yoshida, Himanshu Joshi, Boran Zhou, Tian Liu, Jing Wang, Xiaofeng Yang
article en
1 citations

Abstract

This phantom and pilot study demonstrated that ultrasound GLCM features can serve as reliable quantitative biomarkers for assessing radiation-induced vaginal toxicity in female patients receiving pelvic RT for GYN cancers. Implementing these biomarkers in clinical practice could enhance the objectivity of toxicity evaluations, leading to more consistent grading and better-informed follow-up care for patients.

Medical PhysicsVol. 52(7)
Emory University (US), University of California, San Francisco (US), Icahn School of Medicine at Mount Sinai (US)
National Institutes of Health
Good health and well-being
Openalex Percentile: Top 21%
Radiomics and Machine Learning in Medical Imaging
1.36
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Advancing the evaluation of radiation‐induced vaginal toxicity using ultrasound radiomics: Phantom validation and pilot clinical study — Deborah Marshall, Joseph W. Shelton, et al. · Medical Physics (2025) | TGRS Research Map | TGRS